a SPICE-like electronic circuit simulator written in Python
The code should be easy to read and modify, the main language is Python -- 2 or 3 -- and it is platform-independent.
- Ahkab v0.15 was released on Apr 20 2015, including bugfixes and additional documentation. It is recommended to upgrade. Check out the release notes for more!
- The whole codebase has been going through a (yet incomplete) refactoring and documenting effort. The new documentation is available on RTD.
My resources are limited these days, so the much-needed work is proceeding slowly, albeit hopefully steadily. If you are interested and you would like to contribute to refactoring or documenting a particular feature, it would be very welcome.
- Numeric:
- Operating point, with guess computation to speed up the solution. See example: Downscaling current mirror
- DC sweep
- Transient analysis, available differentiation formulas: implicit Euler, trapezoidal, gear orders from 2 to 5. See for example the simulation of a Colpitts Oscillator.
- AC analysis
- PZ analysis
- Periodic steady state analysis of non-autonomous circuits, time domain shooting and brute-force algorithms.
- Symbolic:
- Small signal analysis, AC or DC, with extraction of transfer functions, DC gain, poles and zeros. Various symbolic analysis examples on this page.
The results are saved to disk, plotted or printed to stdout and can be read/processed by the most common tools (eg. Octave, gnuplot, Matlab, gwave and others)
The program requires:
- the Python interpreter version 2 or 3 (at least v.2.6 for Python2, v.3.3 for Python3),
- numpy>=1.7.0, scipy>=0.14.0, sympy>=0.7.6 and tabulate>=0.7.3.
Matplotlib is strongly recommended and no plotting will work without.
If you need more information about the dependencies, check the Install notes.
from ahkab import new_ac, run
from ahkab.circuit import Circuit
from ahkab.plotting import plot_results # calls matplotlib for you
import numpy as np
# Define the circuit
cir = Circuit('Butterworth 1kHz band-pass filter')
cir.add_vsource('V1', 'n1', cir.gnd, dc_value=0., ac_value=1.)
cir.add_resistor('R1', 'n1', 'n2', 50.)
cir.add_inductor('L1', 'n2', 'n3', 0.245894)
cir.add_capacitor('C1', 'n3', 'n4', 1.03013e-07)
cir.add_inductor('L2', 'n4', cir.gnd, 9.83652e-05)
cir.add_capacitor('C2', 'n4', cir.gnd, 0.000257513)
cir.add_inductor('L3', 'n4', 'n5', 0.795775)
cir.add_capacitor('C3', 'n5', 'n6', 3.1831e-08)
cir.add_inductor('L4', 'n6', cir.gnd, 9.83652e-05)
cir.add_capacitor('C4', 'n6', cir.gnd, 0.000257513)
cir.add_capacitor('C5', 'n7', 'n8', 1.03013e-07)
cir.add_inductor('L5', 'n6', 'n7', 0.245894)
cir.add_resistor('R2', 'n8', cir.gnd, 50.)
# Define the analysis
ac1 = new_ac(2.*np.pi*.97e3, 2.*np.pi*1.03e3, 1e2, x0=None)
# run it
res = run(cir, ac1)
# plot the results
plot_results('5th order 1kHz Butterworth filter', [('|Vn8|',"")], res['ac'],
outfilename='bpf_transfer_fn.png')
The syntax is:
`$ python ahkab -o graph.dat <netlist file>`
See ahkab --help
for command line switches, also online on the documentation pages.
The documentation is available on RTD.
There, you can find a documentation and examples regarding how to simulate from a Python script.
Refer to the netlist syntax page if you prefer to write netlist files that describe the circuit.
Experience with running SPICE or related commercial simulators can be very useful: this is not for the faint of heart.
- The development happens on the github repository,
- Mostly on the master branch, with feature branch being created only for special purposes or non-trivial features.
- Snapshots are released on a (hopefully) regular basis and are available on the Releases pages, complete with changelog and on PYPI
Patches and pull requests are welcome!
This project was born when I was an enthusistic undergrad, apparently with plenty of free time, attending "Simulazione Circuitale" (Circuit Simulation) taught by Prof. A. Brambilla back in Italy at the Polytechnic University of Milan.
I am grateful to prof. Brambilla for teaching one of the most interesting courses of my university years. -GV
Does it work? Bugs? Do you have patches? Did you run some noteworthy simulation? Let me know! Feedback is very welcome, my email address is available after a captcha.
If you wish to support the development of ahkab
, please donate to cancer research:
or
Authors: Giuseppe Venturini, with contributions from Ian Daniher and Rob Crowther.
Code: the module py3compat.py
is (c) 2013 - the Jinja team.
Dependencies: many thanks to the authors of numpy
, scipy
, sympy
, matplotlib
and tabulate
!